Abstract
Evolution of flow characteristics through finite-sized wind farms and the influence of the wind-farm configuration on modulating this evolution is explored through numerical simulations. The principal aim for the study is to identify regions of flow-adjustment and flow equilibrium within the wind farm. Towards this aim, a suite of five large-eddy simulations (LES) of the neutral atmospheric boundary layer with extremely long streamwise domains are performed with embedded finite-sized wind farms of different streamwise and spanwise spacing. Three diagnostic variables, namely, the wind-farm induced effective surface roughness, the wake viscosity and the wake-expansion coefficient are computed using the LES-generated database and are used to characterize the flow. Computation of the diagnostic variables is relevant to the wind-energy community in different contexts ranging from parametrization of wind farms in weather and climate models, to wind-farm design and optimization based on wake-models and eddy-viscosity type Reynolds-averaged Navier-Stokes solvers. Results show that flow equilibrium is achieved in the ‘most dense’ configuration of sx≈8D,sy≈5D at approximately the 19th row. Results also indicate that the streamwise spacing plays a dominant role determining the rate at which flow-adjustment is achieved within the wind farm.
| Language | English |
|---|---|
| Pages | 1196-1208 |
| Number of pages | 13 |
| Journal | Renewable Energy |
| Volume | 115 |
| DOIs | |
| State | Published - 1 Jan 2018 |
| Externally published | Yes |
Keywords
- ABL-wind farm interaction
- Effective roughness
- Large-eddy simulation
- Wake viscosity
- Wake-expansion coefficients
Cite this
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Evolution of flow characteristics through finite-sized wind farms and influence of turbine arrangement. / Sharma, V.; Cortina, G.; Margairaz, F.; Parlange, M. B.; Calaf, M.
In: Renewable Energy, Vol. 115, 01.01.2018, p. 1196-1208.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Evolution of flow characteristics through finite-sized wind farms and influence of turbine arrangement
AU - Sharma,V.
AU - Cortina,G.
AU - Margairaz,F.
AU - Parlange,M. B.
AU - Calaf,M.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Evolution of flow characteristics through finite-sized wind farms and the influence of the wind-farm configuration on modulating this evolution is explored through numerical simulations. The principal aim for the study is to identify regions of flow-adjustment and flow equilibrium within the wind farm. Towards this aim, a suite of five large-eddy simulations (LES) of the neutral atmospheric boundary layer with extremely long streamwise domains are performed with embedded finite-sized wind farms of different streamwise and spanwise spacing. Three diagnostic variables, namely, the wind-farm induced effective surface roughness, the wake viscosity and the wake-expansion coefficient are computed using the LES-generated database and are used to characterize the flow. Computation of the diagnostic variables is relevant to the wind-energy community in different contexts ranging from parametrization of wind farms in weather and climate models, to wind-farm design and optimization based on wake-models and eddy-viscosity type Reynolds-averaged Navier-Stokes solvers. Results show that flow equilibrium is achieved in the ‘most dense’ configuration of sx≈8D,sy≈5D at approximately the 19th row. Results also indicate that the streamwise spacing plays a dominant role determining the rate at which flow-adjustment is achieved within the wind farm.
AB - Evolution of flow characteristics through finite-sized wind farms and the influence of the wind-farm configuration on modulating this evolution is explored through numerical simulations. The principal aim for the study is to identify regions of flow-adjustment and flow equilibrium within the wind farm. Towards this aim, a suite of five large-eddy simulations (LES) of the neutral atmospheric boundary layer with extremely long streamwise domains are performed with embedded finite-sized wind farms of different streamwise and spanwise spacing. Three diagnostic variables, namely, the wind-farm induced effective surface roughness, the wake viscosity and the wake-expansion coefficient are computed using the LES-generated database and are used to characterize the flow. Computation of the diagnostic variables is relevant to the wind-energy community in different contexts ranging from parametrization of wind farms in weather and climate models, to wind-farm design and optimization based on wake-models and eddy-viscosity type Reynolds-averaged Navier-Stokes solvers. Results show that flow equilibrium is achieved in the ‘most dense’ configuration of sx≈8D,sy≈5D at approximately the 19th row. Results also indicate that the streamwise spacing plays a dominant role determining the rate at which flow-adjustment is achieved within the wind farm.
KW - ABL-wind farm interaction
KW - Effective roughness
KW - Large-eddy simulation
KW - Wake viscosity
KW - Wake-expansion coefficients
UR - http://www.scopus.com/inward/record.url?scp=85029683633&partnerID=8YFLogxK
U2 - 10.1016/j.renene.2017.08.075
DO - 10.1016/j.renene.2017.08.075
M3 - Article
VL - 115
SP - 1196
EP - 1208
JO - Renewable Energy
T2 - Renewable Energy
JF - Renewable Energy
SN - 0960-1481
ER -